AI Engineer Consultant
Atlanta, GA · On-site
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and ...
AI Engineer Consultant
Atlanta, GA · On-site
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and ...
This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third-party AI and LLM ...
This role is not focused on building or training AI models. Key Responsibilities and Deliverables Secure AI Integration * Define and maintain secure integration patterns for third-party AI and LLM ...
Legal Professionals - AI Training - Atlanta, US
Atlanta, GA · Remote
$100/hr
Legal Professionals - AI Training About Prolific Prolific is not just another player in the AI ... Legal Background: you have a legal degree, professional qualification (JD, LLB, LLM), or relevant ...
Quick apply
Legal Professionals - AI Training - Atlanta, US
Atlanta, GA · Remote
$100/hr
Legal Professionals - AI Training About Prolific Prolific is not just another player in the AI ... Legal Background: you have a legal degree, professional qualification (JD, LLB, LLM), or relevant ...
Data Scientist-GCP platform
Atlanta, GA · Hybrid
$58/hr
Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development. * Generative AI & LLM Applications * Develop and deploy generative AI use cases using Vertex AI and Gemini
Quick apply
Data Scientist-GCP platform
Atlanta, GA · Hybrid
$58/hr
Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development. * Generative AI & LLM Applications * Develop and deploy generative AI use cases using Vertex AI and Gemini
Senior Machine Learning Engineer
Atlanta, GA · On-site +1
$100K - $138K/yr
... LLM-based systems, for real-world production use cases * Perform statistical analysis and data exploration to generate datasets for model training, experimentation, and evaluation * Translate ...
Senior Machine Learning Engineer
Atlanta, GA · On-site +1
$100K - $138K/yr
... LLM-based systems, for real-world production use cases * Perform statistical analysis and data exploration to generate datasets for model training, experimentation, and evaluation * Translate ...
Senior Forward Deployed Engineer, Snowflake
Atlanta, GA · On-site
$100K - $138K/yr
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
Senior Forward Deployed Engineer, Snowflake
Atlanta, GA · On-site
$100K - $138K/yr
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
Senior ML Ops Engineer
$112K - $179K/yr
Experience in evaluating LLM models. * A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. * Background in health technology ...
Senior ML Ops Engineer
$112K - $179K/yr
Experience in evaluating LLM models. * A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics. * Background in health technology ...
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
Cortex AI, Cortex LLM Functions, Cortex Agents, Arctic Embed * 1+ years of experience leading ... and training; licensure and certifications; and other business and organizational needs. The ...
... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...
... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Atlanta, GA · On-site
Strong grasp of LLM evaluation methodologies, benchmarking, reward modeling, and alignment trade ... This is resourced to do real post-training at scale - committed investment in GPU compute and ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Atlanta, GA · On-site
Strong grasp of LLM evaluation methodologies, benchmarking, reward modeling, and alignment trade ... This is resourced to do real post-training at scale - committed investment in GPU compute and ...
... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...
... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...
Develop LLM retrieval and generation workflows * Improve search and ranking relevance * Design ... Build training, inference, and eval pipelines Skills/Competencies * Requires a Bachelor's degree in ...
Develop LLM retrieval and generation workflows * Improve search and ranking relevance * Design ... Build training, inference, and eval pipelines Skills/Competencies * Requires a Bachelor's degree in ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Kennesaw, GA · Remote
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Kennesaw, GA · Remote
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Atlanta, GA · Remote
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Machine Learning Engineer New Grad 2024-2025 -Remote
Atlanta, GA · Remote
$139K - $168K/yr
Take end-to-end ownership of Machine Learning systems -- from prototyping, data pipelines and training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...
Product/UX Professionals - AI Training - Atlanta, US
Atlanta, GA · On-site +1
$50/hr
Product & UX Design - AI Training About Prolific Prolific is not just another player in the AI ... Evaluate LLM-Generated Designs: assess AI-generated wireframes, user flows, and product ...
Quick apply
Product/UX Professionals - AI Training - Atlanta, US
Atlanta, GA · On-site +1
$50/hr
Product & UX Design - AI Training About Prolific Prolific is not just another player in the AI ... Evaluate LLM-Generated Designs: assess AI-generated wireframes, user flows, and product ...
LLM integration with tools, APIs, and knowledge bases (RAG patterns) * Autonomous and semi ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...
LLM integration with tools, APIs, and knowledge bases (RAG patterns) * Autonomous and semi ... Establish MLOps and LLMOps frameworks for model training, deployment, monitoring, evaluation, and ...
Lead, AEO
Atlanta, GA · Hybrid
$112K - $207K/yr
UtilizeGoogle Search Console, GA4, and LLM tools tomonitorperformance and create dashboards to ... Education Assistance Program, Robust job skills training and Professional development opportunities ...
Lead, AEO
Atlanta, GA · Hybrid
$112K - $207K/yr
UtilizeGoogle Search Console, GA4, and LLM tools tomonitorperformance and create dashboards to ... Education Assistance Program, Robust job skills training and Professional development opportunities ...
Sr Data Engineer
$110K - $132K/yr
Build and maintain data pipelines for AI product lifecycle, including training data preparation ... Experience building RAG and agentic architecture solutions and working with LLM-powered ...
Sr Data Engineer
$110K - $132K/yr
Build and maintain data pipelines for AI product lifecycle, including training data preparation ... Experience building RAG and agentic architecture solutions and working with LLM-powered ...
LLM integration with tools, APIs, and knowledge bases (RAG patterns) Autonomous and semi-autonomous ... training, deployment, monitoring, evaluation, and lifecycle management. Define approaches for model ...
New
LLM integration with tools, APIs, and knowledge bases (RAG patterns) Autonomous and semi-autonomous ... training, deployment, monitoring, evaluation, and lifecycle management. Define approaches for model ...
New
Llm Training information
See Decatur, GA salary details
$31.2K - $38.3K
15% of jobs
$38.3K - $45.4K
7% of jobs
$47.6K is the 25th percentile. Wages below this are outliers.
$45.4K - $52.5K
10% of jobs
$52.5K - $59.6K
11% of jobs
The median wage is $61.7K / yr.
$59.6K - $66.7K
22% of jobs
$66.7K - $73.8K
4% of jobs
$78.9K is the 75th percentile. Wages above this are outliers.
$73.8K - $80.9K
7% of jobs
$80.9K - $88K
7% of jobs
$88K - $95.1K
4% of jobs
$95.1K - $102.2K
5% of jobs
$102.2K - $109.3K
6% of jobs
$31.2K
$67.1K
$109.3K
How much do llm training jobs pay per year?
As of Jun 21, 2026, the average yearly pay for llm training in Decatur, GA is $67,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,800.00 and $82,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Llm Training position, and why are they important?
To excel in LLM Training, you need a strong background in machine learning, natural language processing (NLP), and computer science, often backed by an advanced degree in a related field. Experience with programming languages such as Python, frameworks like PyTorch or TensorFlow, and familiarity with data annotation tools are essential, along with knowledge of cloud platforms and distributed computing. Strong analytical thinking, effective communication, and the ability to collaborate across interdisciplinary teams set top candidates apart. These skills ensure high-quality model development, efficient project execution, and the ability to adapt to evolving AI technologies.
What types of teams or professionals does an LLM Training specialist typically collaborate with?
Professionals specializing in LLM Training often work closely with data engineers, software developers, domain experts, product managers, and quality assurance analysts. Collaboration is essential for collecting and preprocessing training data, integrating models into products, and ensuring outputs meet business and user requirements. These roles frequently participate in agile project workflows, contribute to cross-functional team meetings, and collaborate on continuous model improvements. Engaging with diverse teams expands your understanding of product goals and helps you deliver robust and reliable language models that align with organizational objectives.
What is an LLM Training job?
An LLM Training job involves developing, fine-tuning, and optimizing large language models (LLMs) to improve their performance and accuracy. This role typically includes data collection, preprocessing, model training, evaluation, and troubleshooting issues related to bias, efficiency, and scalability. Professionals in this field work with machine learning frameworks, large datasets, and computational resources to enhance AI capabilities. They may also collaborate with researchers, engineers, and product teams to deploy models for real-world applications.
What are the most commonly searched types of Llm Training jobs in Decatur, GA? The most popular types of Llm Training jobs in Decatur, GA are:
What are popular job titles related to Llm Training jobs in Decatur, GA? For Llm Training jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Llm Training jobs in Decatur, GA look for? The top searched job categories for Llm Training jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Llm Training jobs? Cities near Decatur, GA with the most Llm Training job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
AI Engineer Consultant
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026
Work You'll Do:
As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.
Key Responsibilities:
* Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.
* Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.
* Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telemetry.
* Deliver governed data and features for ML/GenAI (curated datasets, feature pipelines/serving) supporting training and real-time inference, including consistency, caching, backfills, and latency SLOs.
* Implement trust, safety, and governance controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk partners.
* Drive engineering excellence and operations (CI/CD, testing, versioning/reproducibility, monitoring/observability, incident response) and cost/performance optimization (right-sizing, query tuning, token/cost telemetry).
* Support design/deployment readiness through reviews, decision documentation, and operational runbooks.
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:* Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
* 2+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
* 2+ years with RAG/retrieval (embeddings, vector/hybrid search, document processing) and enterprise governance controls.
* 2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
* 2+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
* 2+ years leading platform/integration engineering to improve interoperability, reliability, and time-to-market across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
* 2+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
* 2+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
* Ability to travel 0-25%, on average, based on client and project needs.
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Qualifications:* Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
* 2+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
* 2+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
* 2+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
* 2 + years of experience with structured problem solving: translating business needs into requirements, acceptance criteria, and shippable increments.
* 2+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
* 2+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
* 2+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
* 2 + years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe
Information for applicants with a need for accommodation : https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html
#HCFY26 #IIOFY26
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 340036
Job ID 340036
Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that power Human Capital AI products and analytics. You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non-functional requirements), partnering closely with product, data science/ML, security, and platform engineering to deliver reliable, secure, and scalable AI solutions.
This role is hands-on and delivery-oriented: you will ship production pipelines and services that support model training, real-time inference, and LLM applications using Claude-, GPT/Codex-, and Gemini-class models, and more implemented with strong governance, observability, and cost/performance discipline.
Recruiting for this role ends on August 30, 2026
Work You'll Do:
As an AI Engineer Consultant, you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets and features, operationalize quality and lineage, and enable secure consumption patterns for both predictive ML and LLM-based experiences.
Key Responsibilities:
* Partner with the Lead AI Solutions Architect and AI Data Engineer to design, build, and deploy secure, scalable AI solutions (APIs, services, pipelines, containers/serverless) that meet availability, performance, and security requirements.
* Build and operationalize LLM-enabled products (copilots, HR knowledge assistant, summarization, policy Q&A) using Claude/GPT(Codex)/Gemini, including prompt/context patterns and tool/function calling.
* Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid search) plus evaluation and retrieval telemetry.
* Deliver governed data and features for ML/GenAI (curated datasets, feature pipelines/serving) supporting training and real-time inference, including consistency, caching, backfills, and latency SLOs.
* Implement trust, safety, and governance controls (PII handling, prompt-injection defenses, content filtering, policy-based access) with security and risk partners.
* Drive engineering excellence and operations (CI/CD, testing, versioning/reproducibility, monitoring/observability, incident response) and cost/performance optimization (right-sizing, query tuning, token/cost telemetry).
* Support design/deployment readiness through reviews, decision documentation, and operational runbooks.
The Team
HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.
Required Qualifications:* Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
* 2+ years building and delivering LLM/GenAI solutions with Claude/GPT(Codex)/Gemini-class models, including prompt/context design, tool/function calling, evaluation, and production integration.
* 2+ years with RAG/retrieval (embeddings, vector/hybrid search, document processing) and enterprise governance controls.
* 2+ years of modern data & AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
* 2+ years building production, real-time inference services (API design, latency/performance, reliability patterns).
* 2+ years leading platform/integration engineering to improve interoperability, reliability, and time-to-market across enterprise systems; strong API/integration experience (REST, GraphQL, event-driven, microservices, middleware).
* 2+ years DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes, observability/monitoring).
* 2+ years leading security/compliance efforts; familiarity with enterprise security controls (IAM, encryption, secrets, audit logging) and data/privacy (PII, retention, access controls); SOC 2/GDPR/HIPAA exposure a plus.
* Ability to travel 0-25%, on average, based on client and project needs.
* Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Qualifications:* Advanced degree (MS/PhD) and/or relevant certifications (cloud and AI/ML).
* 2+ years of experience with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) and HR data domains.
* 2+ years of experience operationalizing LLMOps/MLOps capabilities (evaluation, monitoring, governance workflows, model/prompt/version management).
* 2+ years of cloud experience on AWS/Azure/GCP (one or more), including managed data platforms and scalable compute patterns.
* 2 + years of experience with structured problem solving: translating business needs into requirements, acceptance criteria, and shippable increments.
* 2+ years of experience with stakeholder communication: ability to explain AI/GenAI trade-offs (quality vs. latency vs. cost vs. risk) and document decisions.
* 2+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
* 2+ years of experience with treat testing, monitoring, and operational readiness as core responsibilities.
* 2 + years of experience with ethics and privacy awareness being able to recognize consent/PII/bias boundaries and escalate appropriately.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $93,000 to $171,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Minneapolis, Morristown, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe
Information for applicants with a need for accommodation : https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
For more information about Human Capital, visit our landing page at: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-human-capital-consulting-jobs.html
#HCFY26 #IIOFY26
Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers
Requisition code: 340036
Job ID 340036